Data Science Manager
Kemper · Alpharetta, GA
$115,700–$192,900from the description
Jul 21, 2026
Alpharetta, GA
Jul 22, 2026
What this job asks for AI summary
A people-manager role leading a small team of data scientists and engineers building machine learning and AI solutions for an insurance claims organization. Day-to-day work spans model development and deployment across use cases such as fraud detection, claim triage, severity prediction, and workflow optimization, along with overseeing model governance, monitoring, and continuous improvement. Suits a seasoned practitioner with production ML experience who is ready to take on direct team leadership and stakeholder communication responsibilities.
Senior level · 6+ years · Chicago, IL · Master's required · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 1,050 people in the Chicago, IL area plausibly meet what this posting asks for (data scientists). range 780–1,350
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $110,007 (middle half $86,460–$141,249). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role has direct people-management responsibilities (managing a small team of data scientists and data engineers, coaching, mentorship, performance management), making it a genuine hybrid between 15-2051 Data Scientists and 11-3021 Computer and Information Systems Managers. The primary day-to-day work is described as hands-on ML/AI development and technical leadership, so 15-2051 was chosen as primary with 11-3021 as the runner-up.
The posting lists multiple office locations (Alpharetta GA, Bloomington IL, Boston MA, Chicago IL, Columbus OH, Hartford CT, Omaha NE). Chicago IL is used as the representative CBSA; the role is hybrid (not fully remote), so remote is set to false.
Degree requirement: the JD hard-requires a 'Graduate degree' (Master's minimum) in a STEM field; a PhD is listed as preferred. Degree requirement is set to Masters accordingly.
The 6-year experience floor ('at least 6 years of experience with statistical modeling, machine learning, and AI technologies') is captured both as the overall years minimum and as the years demanded on the machine learning and statistical modeling skills, as the JD ties the years explicitly to those technologies.
'Agentic AI' is mentioned in the responsibilities narrative as part of the solution types the team builds — listed as preferred since it appears in context rather than a hard-requirements gate.
Claims industry experience is explicitly listed as preferred ('Claims experience preferred'), not a hard gate — omitted from skills as it is domain knowledge rather than a named technology.
Read the full posting
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